16 results about "Matrix method" patented technology

Disclosed in the present invention are a method and apparatus for synthesizing spatially cross-correlated multi-point ground motions fitting a response spectrum. The method comprises: using an influence matrix method to obtain ground motion acceleration time histories fitting a target reaction spectrum with high precision, and calculating a Fourier amplitude spectrum and a phase spectrum thereof; and considering a calculation relationship between a power spectral density function and the Fourier amplitude spectrum, taking the power spectral density function of the obtained time histories as an initial value, using a random vibration theory and Cholesky decomposition to obtain spatially cross-correlated multi-point ground motion time histories, further taking into account a phase spectrum of the ground motion time histories fitting the target reaction spectrum with high precision, and performing correction and iteration to obtain spatially cross-correlated multi-point ground motions fitting a response spectrum. The present invention overcomes the shortcomings in current multi-point ground motion time history synthesis techniques, such as the difficulty in ensuring good fitting to a target response spectrum and the non-stationarity of synthesized ground motions, helping to improve the reliability of dynamic response analysis results for large-scale engineering structures under the action of multi-point ground motions.

The invention relates to the technical field of power distribution network fault positioning, in particular to a power distribution network fault self-healing method based on fault detection positioning and isolation recovery. Comprising the steps of collecting data; judging that a fault occurs, and judging a fault type based on a wavelet transform method; screening candidate fault branches based on a matrix method, and obtaining fault distances of the candidate fault branches based on a traveling wave distance measurement method; on the basis of topological connection of candidate fault branches, a minimum set of switches needing to be disconnected is generated, the minimum power failure range is calculated, and the isolation priority is dynamically adjusted; and constructing a physical constraint of recovery operation and a multi-objective function of power supply recovery, solving the multi-objective function of power supply recovery, obtaining an interconnection switch state, a section switch state and a distributed power supply output adjustment instruction, and executing a power supply recovery action. According to the method, the strategy transparency and the operation and maintenance efficiency are improved, the problem of positioning failure of a traditional method under noise interference and multi-branch scenes is solved, and the fault positioning precision is improved.

The present application relates to the technical field of power system operation analysis and regulation, and specifically discloses a kind of VSC-HVDC system power flow regulation capability evaluation method, comprising the following steps: S1, the power flow regulation range mathematical model of establishing containing back-to-back flexible HVDC transmission system BTB;S2, establish new energy output uncertainty model;S3, construct power flow over-limit risk and risk adaptive power regulation mechanism;S4, generalized polynomial chaos matrix method is used to evaluate the two-way power flow regulation range;S5, output power flow regulation range evaluation results and visual index.The present application uses the above-mentioned VSC-HVDC system power flow regulation capability evaluation method, realizes the collaborative quantification of new energy randomness, operation risk and BTB regulation capacity, improves the accuracy and engineering practicability of the evaluation results, and provides a decision basis for power system planning and design, operation control.

The invention discloses a co-excitation Wheatstone full-bridge circuit fault positioning method based on resistance measurement, and belongs to the technical field of flight load spectrum testing. The system comprises a graphical interface module, a measurement data management module, a circuit topology storage module, an admittance matrix calculation module, a fault diagnosis engine module, a result display module and a file management module. The implementation method comprises the following steps: constructing a topological structure of a co-excitation Wheatstone full-bridge circuit, and defining nodes, resistors and a connection relation; inputting a resistance value among the eight fixed measurement points; generating possible fault resistance combination constraints; calculating a theoretical equivalent resistance value through an admittance matrix method; calculating the error between the theoretical value and the measured value; preferentially processing infinite constraints, and searching an optimal fault combination; and outputting a fault resistor positioning position and a diagnosis report. According to the invention, through automatic calculation and an intelligent optimization algorithm, rapid and accurate fault positioning is realized, and the maintenance cost and time of a flight load spectrum test system are substantially reduced.

The invention provides an intelligent scheduling method for a job shop, and relates to the technical field of production scheduling, and the method comprises the following steps: constructing a resource availability matrix which is used for representing whether a processing procedure is allowed to use corresponding processing resources or not based on a job condition; constructing a resource strategy fingerprint used for representing a preset processing resource scheduling strategy for the processing procedure and the processing resource; according to a preset scheduling mode, synthesizing the resource availability matrix and the resource strategy fingerprint to generate an assignable parameter matrix; and inputting the assignable parameter matrix as a resource available set, constructing a scheduling optimization model and solving the scheduling optimization model in combination with a preset constraint condition and an optimization target of the job shop, and generating an intelligent scheduling scheme. According to the method, the resource availability matrix and the resource strategy fingerprints are independently constructed, the resource availability matrix and the resource strategy fingerprints are synthesized, an assignable parameter matrix method is obtained, decoupling of resource allocation and strategies is achieved, and therefore the flexibility, reproducibility and high efficiency of job shop scheduling are achieved.

The application discloses a water engineering scheduling runoff intelligent simulation method, comprising: edge distribution function fitting: using the matrix method to calculate the mean, dispersion coefficient and skewness coefficient, and adopting a P-III type curve to construct a daily runoff frequency curve; wisdom knowledge set construction: using a time series model to establish wisdom knowledge sets of each parameter in a mixed Copula set, using a cooperative search algorithm, taking the minimum of the Akaike information criterion of the theoretical distribution and the empirical distribution as the target, and calibrating the wisdom knowledge set parameters; daily runoff simulation: based on the Bayesian rule, a mixed conditional Copula set is established, and Latin hypercube sampling is used to generate a long sequence of daily runoff. The method reduces the difficulty of daily runoff simulation by the mixed Copula, reduces the number of parameters, improves the fitting precision of the mixed Copula, speeds up the construction speed of the mixed Copula set, and provides a valuable technical tool for basin management.

The invention discloses a production load balance control system and a control method thereof, belongs to the technical field of production scheduling, and is used for solving the problem of unbalanced scheduling load of multi-variety and small-batch products, the control system comprises a top layer module, a middle layer module and a bottom layer module, and the three modules can communicate information with one another; the top layer module is used for inputting and analyzing an order, and converting an order load to a frequency domain through a Fourier load smoothing algorithm; the middle layer module is used for arranging the optimal order sequence, arranging the optimal order sequence of the orders by adopting a three-dimensional evaluation matrix method on the premise of ORR optimal rule sorting, and generating an order delivery sequence; and the bottom layer module is used for dispatching of a job shop layer and issuing order tasks generated by the top layer module and the middle module to each job device. According to the invention, the problem of excessive production scheduling is inhibited from the source, and the balance of the load of the whole chain from order receiving to delivery to dispatching is realized through a layered ladder control architecture.

The application discloses a kind of based on finite difference reduction multibody system transfer matrix method of rotating beam system dynamic characteristic analysis method and system.Method includes: the physical parameter model of rotating beam system is established, and the structural parameter of rotating beam is acquired;Rotating beam system dynamics control differential equation is established;Rotating beam system is discretized using finite difference method;The transfer matrix of the discretized multibody system model is constructed, and the transfer matrix is processed using reduction equation, and the reduced difference point reduction transfer matrix recursive relationship is obtained;The reduced state vector recursive equation is established, and the dynamic characteristic parameter of rotating beam system is calculated and output.The application is combined with finite difference method by multibody system transfer matrix method, and rotating beam element is discretized difference, and the differential term of rotating beam differential equation is differentially approximated to deduce transfer matrix, retains the characteristics of low matrix order involved in transfer matrix method, reduces the calculation scale, improves the success rate of numerical calculation result, and can effectively solve rotating beam and other dynamics problems.

The invention discloses a method for analyzing the machining precision of a machine tool by bolt performance degradation in consideration of hole position errors, which considers the influence of manufacturing hole position errors on the rigidity of a bolted part for the first time. The method comprises the following steps: firstly, extracting normal and tangential contact rigidities of a joint surface under the conditions of different hole position errors, fractal parameters and pre-tightening forces by utilizing an abaqus finite element method to obtain a data set; and then, taking the hole position error, the fractal parameter and the pre-tightening force as input vectors, taking the joint surface rigidity as an output vector, and training data by utilizing a BP neural network to complete rigidity prediction. And finally, establishing a dynamic model of the gantry machine tool based on a multi-body system transfer matrix method so as to explore the influence of performance degradation of the bolts on the machining precision of the machine tool, and providing technical guidance for optimization of the bolt joint surfaces in engineering.

The invention provides an expected function safety three-dimensional risk scene analysis method and system, a product and a vehicle, and relates to the technical field of intelligent driving. According to the method, function cases, potential triggering conditions and potential function insufficiency are systematically integrated, a HAZOP method is used for recognizing hazardous behaviors and associating vehicle hazards, and the risk of the vehicle is analyzed. The risk acceptability is judged by combining severity and controllability evaluation, and then a matrix method is adopted to establish an association relationship among potential insufficient functions, risk hazard behaviors and potential trigger conditions, and a comprehensive risk score is calculated; and finally, constructing a complete risk scene model containing three dimensions including the scene containing the trigger condition, the trigger condition and the hazard scene, and realizing priority ranking of the risk scene according to the comprehensive score. According to the method, the systematicness, integrity and quantification degree of SOTIF analysis are effectively improved.

The application discloses a kind of shipboard aircraft dynamics fast calculation method.Method includes following process: establishing shipboard aircraft catapult take-off multi-flexible body system dynamics model, establishes shipboard aircraft catapult take-off multi-flexible body system topology, utilize finite element method to establish main tire refinement finite element model, then tire flexible body dynamics characteristic parameter is exported and deduces the dynamics equation of tire flexible element, based on multi-body system transfer matrix method (MSTMM) and finite element modal synthesis method deduce shipboard aircraft catapult take-off multi-flexible body system total transfer equation and total transfer matrix, solve the inherent frequency of shipboard aircraft multi-flexible body system considering inflatable flexible tire and the dynamic response of catapult take-off;The method proposed in the application overcomes the defects of high matrix order and large amount of calculation of traditional methods when dealing with complex coupling system of shipboard aircraft containing inflatable flexible tire, has the advantages of fast calculation speed, high degree of programming and strong universality, provides an efficient calculation method for the dynamic analysis of complex shipboard aircraft multi-flexible body system.

The application discloses a kind of deep submicron device working condition failure mechanism proportion calculation method based on matrix method, comprising the following steps: step one: determine the kind of failure mechanism existing in the deep submicron device to be measured, establish the acceleration model of each failure mechanism;Step two: calculate acceleration factor matrix AF;Step three: calculate relative acceleration factor vector B according to the acceleration test data;Step four: construct failure mechanism proportion solving equation set;Step five: solve the value range of relative factor RF;Step six: determine the proportion of four kinds of failure mechanisms under the working condition of the deep submicron device to be measured;Through the above steps, the contribution proportion of the failure mechanism existing in deep submicron device under any working condition to device degradation can be calculated in combination with acceleration test data.

The invention discloses a six-dimensional force sensor configuration design method based on degree-of-freedom analysis, and relates to the technical field of six-dimensional force sensor configuration design, and the method comprises the following steps: determining a design target, a theoretical basis and a degree-of-freedom requirement of a six-dimensional force sensor configuration; performing degree-of-freedom analysis through a spiral theory-flexibility matrix method, and constructing a flexible module library; performing degree-of-freedom comprehensive design, decomposing a six-degree-of-freedom space target of the elastic branch chain into a plurality of low-dimensional subspaces, and selecting a flexible module to perform degree-of-freedom matching and combination to obtain a six-degree-of-freedom elastic branch chain; the n elastic branch chains are arranged into an n-branch-chain symmetrical elastic body, m groups of differential capacitors are arranged at symmetrical positions of the n elastic branch chains, and a six-dimensional force sensor is obtained; performing parameter optimization and verification on the six-dimensional force sensor; systematic design from a performance target to a topological structure is realized, a traditional design mode of trial and error depending on experience is got rid of, the sensitivity isotropy of the sensor is remarkably improved, and inter-dimensional coupling is reduced.

A fan control system fault-tolerant control method considering random time delay comprises: considering the influence of external disturbance, establishing a state space equation of a fan torque control system, considering the actuator fault in a network control system, applying input time delay and Bernoulli distribution to obtain an improved system state equation; adopting Lyapunov stability analysis method to obtain a constraint condition matrix of a controller; and calculating a state feedback controller gain matrix through matrix inequality calculation.The present application considers a fan torque control system with actuator fault and random time delay, establishes a closed-loop control system model, gives a solution method of asymptotic stability and fault-tolerant control of the closed-loop system, establishes a Lyapunov-Krasovskii function containing random time delay information, analyzes and processes the time delay based on an extended complementary convex optimization matrix method, obtains a sufficient condition for system stability, significantly reduces the conservativeness of the system, and obtains good performance characteristics.

The application discloses a kind of repairable equipment reliability modeling and evaluation method considering incomplete repair.By using three-parameter boundary intensity process model (3-BIP) as benchmark failure intensity function to correct proportional hazard intensity (LPIM) model, the reliability of repairable equipment is modeled;The model parameter estimation problem is converted into the maximum value solving problem of nonlinear objective function, and the particle swarm optimization algorithm is used to solve the model parameters;Thirdly, the inverse Fisher information matrix method is used to estimate the confidence interval of model parameters, and the point estimation and interval estimation method based on Delta method of key reliability indicators are given;The application is applied to the fault truncated time data of a wind generator, and the Akaike information criterion, Bayesian information criterion and goodness-of-fit index are used to test the goodness of fit of the model.The goodness of fit of the model is better than BIP and LPIM model, and the reliability evaluation result obtained is more in line with engineering practice.